What do we mean by a neighborhood?
NeighborhoodScout® uses the official government designation for neighborhoods - the census tract.
Census tracts are small, relatively permanent subdivisions of a county that are defined by the U.S. Census Bureau in conjunction with local authorities all across the country to define real neighborhoods that are bounded to contain areas with homogeneous population characteristics (including economic status, lifestyle, and living conditions). Census tracts usually have 4,000 persons, but can range between 1,500 and 8,000 persons. This is the most fine-grained area for which detailed information is made available from the government, to protect the individual privacy of each of us. Because census tracts are based on population, they vary in size depending on the density of settlement. In urban areas, they are small, and in rural areas they can cover an entire small town or even a few small towns in very rural areas.
Since census tracts are subdivisions of a county, we did a spatial overlay of the census tracts onto city and town boundaries using a geographic information system to properly assign each census tract to its appropriate city or town. Then we named each census tract to the local colloquially recognized neighborhood name for that spot (e.g., Boston, MA (Dorchester). If there was not a name available, we named the census tract by the largest street intersection in the census tract (e.g., Worcester, MA (Lincoln St/Plantation St)
Why we don't use Zip Codes as neighborhoods
Zip codes were developed by the Postal Service for the purpose of delivering mail, but were never intended to define coherent neighborhoods. In addition, Zip Codes can have as many as 10 distinctly different census tracts contained within them. When distinct census tracts are blended together in a single Zip Code, the data reflects their average conditions and often gives a false sense of the area. The result is that potentially great matching neighborhoods can be missed, and erroneous matches can also be produced and delivered to you.
Using census tracts makes great matches possible, and helps people find the areas that are best for them and their families. Because we are committed to providing the highest possible quality and finding the neighborhoods that best meet your criteria, we use census tracts. And, as always, we show you the actual street map of the neighborhood so you know exactly where your best matching neighborhood is located.
What is a Condition Alert?
A condition alert is a condition in the neighborhood that triggers an alert. NeighborhoodScout contains condition alerts to highlight conditions that are extreme, whether good or bad. This helps answer crucial questions about the state of the neighborhood being evaluated, such as:
What are the risks of violent crime here?
Is the risk of home break-ins or other property crimes increasing?
Does real estate here hold its value?
Are the trends in local vacancies or unemployment concerning?
...and dozens more.
Information at a glance that you need to know to invest, appraise or finance a property.
Swiss Avenue median real estate price is $710,020, which is more expensive than 92.5% of the neighborhoods in Texas and 80.5% of the neighborhoods in the U.S.
The average rental price in Swiss Avenue is currently $1,875, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 43.7% of Texas neighborhoods.
Swiss Avenue is an urban neighborhood (based on population density) located in Dallas, Texas.
Swiss Avenue real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) apartment complexes/high-rise apartments and single-family homes. Most of the residential real estate is renter occupied. Many of the residences in the Swiss Avenue neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built before 1940.
Vacant apartments or homes are a major fact of life in Swiss Avenue. The current real estate vacancy rate here is 19.8%. This is higher than the rate of vacancies in 86.5% of all U.S. neighborhoods. In addition, most vacant housing here is vacant year round. This can sometimes be the case in neighborhoods dominated by new construction that is not yet occupied. But often neighborhoods with vacancy rates this high are places that can be plagued by a protracted vacancy problem. If you live here, you may find that a number of buildings in your neighborhood are actually empty.
Notable & Unique Neighborhood Characteristics
Many things matter about a neighborhood, but the first thing most people notice is the way a neighborhood looks and its particular character. For example, one might notice whether the buildings all date from a certain time period or whether shop signs are in multiple languages. This particular neighborhood in Dallas, the Swiss Avenue neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Modes of Transportation
If your dream is to be able to ride your bike to work each day, look no further than this unique neighborhood. With 2.9% of residents in the Swiss Avenue neighborhood commuting on a bicycle to and from work daily, this neighborhood has more bicycle commuters than 95.6% of all neighborhoods in the U.S., according to NeighborhoodScout's exclusive analysis.
People
One of the most interesting things about the Swiss Avenue neighborhood is that it has a greater concentration of residents who live alone than most all neighborhoods in America. With 49.0% of the households here made up of people living alone, NeighborhoodScout's research reveals that this is a larger proportion of people living alone than in 95.0% of the neighborhoods in America.
Diversity
Did you know that the Swiss Avenue neighborhood has more Brazilian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.2% of this neighborhood's residents have Brazilian ancestry.
The Neighbors
There are two complementary measures for understanding the income of a neighborhood's residents: the average and the extremes. While a neighborhood may be relatively wealthy overall, it is equally important to understand the rate of people - particularly children - who are living at or below the federal poverty line, which is extremely low income. Some neighborhoods with a lower average income may actually have a lower childhood poverty rate than another with a higher average income, and this helps us understand the conditions and character of a neighborhood.
The neighbors in the Swiss Avenue neighborhood in Dallas are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 42.8% of the neighborhoods in America. With 15.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 61.7% of U.S. neighborhoods.
What we choose to do for a living reflects who we are. Each neighborhood has a different mix of occupations represented, and together these tell you about the neighborhood and help you understand if this neighborhood may fit your lifestyle.
In the Swiss Avenue neighborhood, 44.0% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 28.4% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (22.1%), and 5.5% in clerical, assistant, and tech support occupations.
Languages
The languages spoken by people in this neighborhood are diverse. These are tabulated as the languages people preferentially speak when they are at home with their families. The most common language spoken in the Swiss Avenue neighborhood is English, spoken by 67.5% of households. Other important languages spoken here include Spanish and Polish.
Ethnicity / Ancestry
Culture is shared learned behavior. We learn it from our parents, their parents, our houses of worship, and much of our culture – our learned behavior – comes from our ancestors. That is why ancestry and ethnicity can be so interesting and important to understand: places with concentrations of people of one or more ancestries often express those shared learned behaviors and this gives each neighborhood its own culture. Even different neighborhoods in the same city can have drastically different cultures.
In the Swiss Avenue neighborhood in Dallas, TX, residents most commonly identify their ethnicity or ancestry as Mexican (23.8%). There are also a number of people of German ancestry (6.9%), and residents who report English roots (6.8%), and some of the residents are also of Irish ancestry (6.6%), along with some Italian ancestry residents (3.4%), among others. In addition, 13.7% of the residents of this neighborhood were born in another country.
Getting to Work
How you get to work – car, bus, train or other means – and how much of your day it takes to do so is a large quality of life and financial issue. Especially with gasoline prices rising and expected to continue doing so, the length and means of one's commute can be a financial burden. Some neighborhoods are physically located so that many residents have to drive in their own car, others are set up so many walk to work, or can take a train, bus, or bike. The greatest number of commuters in Swiss Avenue neighborhood spend between 15 and 30 minutes commuting one-way to work (39.0% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (68.6%) drive alone in a private automobile to get to work. In addition, quite a number also carpool with coworkers, friends, or neighbors to get to work (13.3%) . In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
SCOUT’s patented match algorithm identifies the most similar neighborhoods to a subject location, and quantifies the similarity to the subject location. This allows analysts to identify the most similar neighborhoods in a local market area for appraisals, investments, and research.
The algorithm uses 273 neighborhood conditions, identifies the dominant dimensions underlying the conditions and calculates the similarity. This captures the true culture and character of locations, economic conditions, and trends.
The closer to 100% means the locations are nearly identical. 80% is a very good, but not excellent match, and so forth.
